A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans.

Journal: Translational vision science & technology
Published Date: Feb 18, 2020

Abstract

PURPOSE: The purpose of this study was to develop a 3D deep learning system from spectral domain optical coherence tomography (SD-OCT) macular cubes to differentiate between referable and nonreferable cases for glaucoma applied to real-world datasets to understand how this would affect the performance.

Authors

  • Daniel B Russakoff
    Voxeleron LLC, Pleasanton, California, United States.
  • Suria S Mannil
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Jonathan D Oakley
    Voxeleron LLC, Pleasanton, California, United States.
  • An Ran Ran
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Carol Y Cheung
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address: carolcheung@cuhk.edu.hk.
  • Srilakshmi Dasari
    Narayana Nethralaya Foundation, Bangalore-India.
  • Mohammed Riyazzuddin
    Narayana Nethralaya Foundation, Bangalore-India.
  • Sriharsha Nagaraj
    Narayana Nethralaya Foundation, Bangalore-India.
  • Harsha L Rao
    Narayana Nethralaya Foundation, Bangalore-India.
  • Dolly Chang
    Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Robert T Chang
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, California.

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